Evidence map›Paper›PMID 18726961›Full record

ArticleBiotechnology and bioengineering2009

Optimization of an enrichment process for circulating tumor cells from the blood of head and neck cancer patients through depletion of normal cells.

Liying Yang, James C Lang, Priya Balasubramanian, Kris R Jatana, David Schuller, Amit Agrawal, Maciej Zborowski, Jeffrey J Chalmers

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

104 citing papers in PubMed, 1 synthesis or guideline pooled it, 200 citations in OpenAlex.

  1. Pooled it
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  11. Circulating tumor cells in the early detection of human cancers.International journal of biological sciences · 2022
    Review
  12. Article
  13. Article
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  15. Review
  16. Article
  17. Article
  18. Article
  19. Strategies for enrichment of circulating tumor cells.Translational cancer research · 2020
    Review
  20. Review

44 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Liying YangDepartment of Chemical and Biomolecular Engineering, The Ohio State University, 125 Koffolt Laboratories, 140 West 19th Avenue, Columbus, Ohio 43210, USA.
James C Lang
Priya Balasubramanian
Kris R Jatana
David Schuller
Amit Agrawal
Maciej Zborowski
Jeffrey J Chalmers
The Ohio State University · USCleveland Clinic · US

Funding

Magnetophoretic Cell Sorting and AnalysisR01CA062349 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI ZBOROWSKI, MACIEJ · 1994 to 2015
$5.5M
High Performance Magnetic Cell SortingR01CA097391 · NCI · OHIO STATE UNIVERSITY · PI CHALMERS, JEFFREY JOHN · 2003 to 2006
$2.1M
RAPID RARE CANCER CELL ISOLATION FOR MOLECULAR DIAGNOSISR33CA081662 · NCI · OHIO STATE UNIVERSITY · PI CHALMERS, JEFFREY JOHN · 1999 to 2001
$718k
NCI NIH HHS R01 CA062349NCI NIH HHS R01 CA097391NCI NIH HHS R01 CA62349NCI NIH HHS R01 CA97391-01A1NCI NIH HHS R33 CA081662NCI NIH HHS R33 CA81662-01
6 · The paper itself

Abstract

The optimization of a purely negative depletion, enrichment process for circulating tumor cells (CTCs) in the peripheral blood of head and neck cancer patients is presented. The enrichment process uses a red cell lysis step followed by immunomagnetic labeling, and subsequent depletion, of CD45 positive cells. A number of relevant variables are quantified, or attempted to be quantified, which control the performance of the enrichment process. Six different immunomagnetic labeling combinations were evaluated as well as the significant difference in performance with respect to the blood source: buffy coats purchased from the Red Cross, fresh, peripheral blood from normal donors, and fresh peripheral blood from human cancer patients. After optimization, the process is able to reduce the number of normal blood cells in a cancer patient's blood from 4.05 x 10(9) to 8.04 x 10(3) cells/mL and still recover, on average, 2.32 CTC per mL of blood. For all of the cancer patient blood samples tested in which CTC were detected (20 out of 26 patients) the average recovery of CTCs was 21.7 per mL of blood, with a range of 282 to 0.53 CTC. Since the initial number of CTC in a patient's blood is unknown, and most probably varies from patient to patient, the recovery of the CTC is unknown. However, spiking studies of a cancer cell line into normal blood, and subsequent enrichment using the optimized protocol indicated an average recovery of approximately 83%. Unlike a majority of other published studies, this study focused on quantifying as many factors as possible to facilitate both the optimization of the process as well as provide information for current and future performance comparisons. The authors are not aware any other reported study which has achieved the performance reported here (a 5.66 log(10)) in a purely negative enrichment mode of operation. Such a mode of operation of an enrichment process provides significant flexibility in that it has no bias with respect to what attributes define a CTC; thereby allowing the researcher or clinician to use any maker they choose to define whether the final, enrich product contains CTCs or other cell type relevant to the specific question (i.e., does the CTC have predominantly epithelial or mesenchymal characteristics?).

Indexed as

Neoplastic Cells, CirculatingErythrocytesHead and Neck NeoplasmsHemolysisHumansImmunomagnetic SeparationLeukocyte Common AntigensStaining and LabelingLeukocyte Common Antigens

Identifiers

PMID18726961
PMCPMC3906726
OpenAlexW2073017550

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.